Sungmin Kang

Ph.D. student at KAIST

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I am a Ph.D. student researching software engineering: specifically, I use machine learning to build tools to help developers remove bugs from software. My research focuses on facilitating the debugging process from the perspective of the developer. For example, I have contributed towards automatically reproducing bug reports and explainable automated debugging. I have also contributed to the theory of the field by analyzing existing techniques using a novel Bayesian statistics framework.

Currently, I am advised by Dr. Shin Yoo in the COINSE research group at Korea Advanced Institute of Science and Technology.

news

Sep 26, 2024 An extension of our ICSE’23 paper was accepted to TSE! :confetti_ball:
Jun 10, 2024 I passed my doctoral defense! :student:
Nov 4, 2023 I started this blog! :four_leaf_clover:

latest posts

selected publications

  1. autofl_thumbnail.png
    A Quantitative and Qualitative Evaluation of LLM-based Explainable Fault Localization
    Sungmin KangGabin An, and Shin Yoo
    Proceedings of the ACM on Software Engineering, 2024
  2. bapp_thumbnail.png
    A Bayesian Framework for Automated Debugging
    Sungmin Kang, Wonkeun Choi, and Shin Yoo
    In Proceedings of the 32nd International Symposium on Software Testing and Analysis, 2023
  3. libro_thumbnail.png
    Large Language Models are Few-shot Testers: Exploring LLM-based General Bug Reproduction
    Sungmin KangJuyeon Yoon, and Shin Yoo
    In Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023